Research & Knowledge Resources
Discover how GATC Health is revolutionizing healthcare through the integration of AI, multiomics, and advanced predictive analytics.
Novel, Artificial Intelligence-based Approaches to the Mitigation and Treatment of Post-Traumatic Stress Disorder (PTSD) in Affected Populations
American Journal of Biomedical Science & Research
The paper explores innovative AI-based approaches to PTSD treatment using GATC Health's Multiomics Advanced Technology (MAT) platform. The research combines genomics, machine learning, and deep learning to identify biomarkers and develop targeted therapeutics, offering a breakthrough in personalized PTSD treatment and prevention strategies for affected populations, particularly military veterans.
Learning to Discover: The Impact of AI in Preclinical Drug Development
American Journal of Biomedical Science & Research
The paper examines how machine learning and AI technologies are transforming preclinical drug discovery, highlighting GATC Health's phenotypic drug discovery pipeline that combines deep learning with systems biology approaches to improve drug development efficiency.
AI-Based Predictions of Molecular Target Activity from Blind Chemical Structures
American Journal of Biomedical Science & Research
The paper evaluates GATC Health's AI platform performance in predicting molecular target activity through blind chemical structure challenges. Using University of California Irvine's validation study, the platform achieved 91% specificity and 86% sensitivity in screening chemical compounds against biological targets.
AI Derived Therapeutic Development for the Treatment of Opioid Use Disorder
bioRxiv
Research demonstrates how GATC Health's AI platform identified GATC-021, a novel therapeutic compound that successfully reduced fentanyl intake in preclinical studies. The compound, targeting serotonin receptors, showed effectiveness in both male and female subjects without adverse effects, presenting a promising new approach for treating opioid use disorder.
Machine Learning and Augmented Intelligence Enables Prognosis of Type 2 Diabetes Prior to Clinical Manifestation
Current Diabetes Reviews
The research examines how machine learning and AI can enable early prediction of Type 2 Diabetes before clinical symptoms appear. The study explores current challenges in biomarker identification and proposes novel multi-omics approaches combined with AI to enable more accurate disease prognostication.
Future of Precision Medicine: Artificial Intelligence Guided Polypharmacology and Rational Polypharmacy Interventions
American Journal of Biomedical Science & Research
The paper discusses how AI technology is revolutionizing precision medicine through polypharmacology approaches, showcasing GATC Health's AI platform for developing multi-target drug combinations with improved safety and efficacy for complex conditions.
Exosomes; a Potential Source of Biomarkers, Therapy, and Cure for Type-1 Diabetes
Biomolecules
The paper explores exosomes as a novel therapeutic approach for Type 1 Diabetes, examining their regenerative capacity, cell communication role, and potential as biomarkers and drug delivery vehicles. The research focuses on exosomes' functional capabilities in immune regulation and β-cell preservation.
From Addiction to Innovation: Dr. Steven Lloyd on Fighting the Opioid Crisis with AI
January 9, 2025
6 minutes
Dr. Steven Lloyd shares his journey from addiction recovery to innovation in addiction medicine with AI.
Novel Treatment for Opioid Addiction Presented by Tyrone Lam
February 14, 2023
18 minutes
Tyrone Lam discusses GATC's advanced AI platform for opioid addiction treatment.
GATC Health's role in opioid abatement at the Alabama Summit.
December 12, 2023
3 minutes
NBC15 highlights GATC Health's role in opioid abatement at the Alabama Summit.
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